Friedhelm Schwenker

Friedhelm Schwenker: Ensemble Methods: Foundations and Algorithms [Book Review]. IEEE Comp. Int. Mag. 8(1): 77-79 (2013)

Stefan Scherer, John Kane, Christer Gobl, Friedhelm Schwenker: Investigating fuzzy-input fuzzy-output support vector machines for robust voice quality classification. Computer Speech & Language 27(1): 263-287 (2013)

Michael Glodek, Stephan Reuter, Martin Schels, Klaus Dietmayer, Friedhelm Schwenker: Kalman Filter Based Classifier Fusion for Affective State Recognition. MCS 2013: 85-94

Friedhelm Schwenker, Stefan Scherer, Louis-Philippe Morency (Eds.): Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction - First IAPR TC3 Workshop, MPRSS 2012, Tsukuba, Japan, November 11, 2012, Revised Selected Papers. Lecture Notes in Computer Science 7742, Springer 2013, isbn 978-3-642-37080-9

Stefan Scherer, Michael Glodek, Friedhelm Schwenker, Nick Campbell, Günther Palm: Spotting laughter in natural multiparty conversations: A comparison of automatic online and offline approaches using audiovisual data. TiiS 2(1): 4 (2012)

Miriam Schmidt, Günther Palm, Friedhelm Schwenker: On Graph-Associated Matrices and Their Eigenvalues for Optical Character Recognition. ANNPR 2012: 104-114

Sascha Meudt, Friedhelm Schwenker: On Instance Selection in Audio Based Emotion Recognition. ANNPR 2012: 186-192

Michael Glodek, Georg Layher, Friedhelm Schwenker, Günther Palm: Recognizing Human Activities Using a Layered Markov Architecture. ICANN (1) 2012: 677-684

Michael Glodek, Martin Schels, Günther Palm, Friedhelm Schwenker: Multiple classifier combination using reject options and markov fusion networks. ICMI 2012: 465-472

Stefan Faußer, Friedhelm Schwenker: Clustering large datasets with kernel methods. ICPR 2012: 501-504

Michael Glodek, Martin Schels, Günther Palm, Friedhelm Schwenker: Multi-modal Fusion based on classifiers using reject options and Markov Fusion Networks. ICPR 2012: 1084-1087

José Esparza, Stefan Scherer, André Brechmann, Friedhelm Schwenker: Automatic emotion classification vs. human perception: Comparing machine performance to the human benchmark. ISSPA 2012: 1253-1258

Sascha Meudt, Lutz Bigalke, Friedhelm Schwenker: Atlas - Annotation tool using partially supervised learning and multi-view co-learning in human-computer-interaction scenarios. ISSPA 2012: 1309-1312

Michael Glodek, Friedhelm Schwenker, Günther Palm: Detecting Actions by Integrating Sequential Symbolic and Sub-symbolic Information in Human Activity Recognition. MLDM 2012: 394-404

Stefan Scherer, John Kane, Christer Gobl, Friedhelm Schwenker: The Effect of Fuzzy Training Targets on Voice Quality Classification. MPRSS 2012: 43-51

Gerald Krell, Michael Glodek, Axel Panning, Ingo Siegert, Bernd Michaelis, Andreas Wendemuth, Friedhelm Schwenker: Fusion of Fragmentary Classifier Decisions for Affective State Recognition. MPRSS 2012: 116-130

Nadia Mana, Friedhelm Schwenker, Edmondo Trentin (Eds.): Artificial Neural Networks in Pattern Recognition - 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012, Trento, Italy, September 17-19, 2012. Proceedings. Lecture Notes in Computer Science 7477, Springer 2012, isbn 978-3-642-33211-1

Friedhelm Schwenker, Edmondo Trentin (Eds.): Partially Supervised Learning - First IAPR TC3 Workshop, PSL 2011, Ulm, Germany, September 15-16, 2011, Revised Selected Papers. Lecture Notes in Computer Science 7081, Springer 2012, isbn 978-3-642-28257-7

Michael Glodek, Stephan Tschechne, Georg Layher, Martin Schels, Tobias Brosch, Stefan Scherer, Markus Kächele, Miriam Schmidt, Heiko Neumann, Günther Palm, Friedhelm Schwenker: Multiple Classifier Systems for the Classification of Audio-Visual Emotional States. ACII (2) 2011: 359-368

Martin Schels, Patrick Schillinger, Friedhelm Schwenker: Training of multiple classifier systems utilizing partially labeled sequential data sets. ESANN 2011

Miriam Schmidt, Friedhelm Schwenker: Classification of Graph Sequences Utilizing the Eigenvalues of the Distance Matrices and Hidden Markov Models. GbRPR 2011: 325-334

Steffen Walter, Stefan Scherer, Martin Schels, Michael Glodek, David Hrabal, Miriam Schmidt, Ronald Böck, Kerstin Limbrecht, Harald C. Traue, Friedhelm Schwenker: Multimodal Emotion Classification in Naturalistic User Behavior. HCI (3) 2011: 603-611

Mohamed Farouk Abdel Hady, Wesam Herbawi, Michael Weber, Friedhelm Schwenker: A Multi-objective Genetic Algorithm for Pruning Support Vector Machines. ICTAI 2011: 269-275

Michael Glodek, Stefan Scherer, Friedhelm Schwenker: Conditioned Hidden Markov Model Fusion for Multimodal Classification. INTERSPEECH 2011: 2269-2272

Stefan Faußer, Friedhelm Schwenker: Ensemble Methods for Reinforcement Learning with Function Approximation. MCS 2011: 56-65

José Esparza, Stefan Scherer, Friedhelm Schwenker: Studying Self- and Active-Training Methods for Multi-feature Set Emotion Recognition. PSL 2011: 19-31

Stefan Faußer, Friedhelm Schwenker: Semi-Supervised Kernel Clustering with Sample-to-Cluster Weights. PSL 2011: 72-81

Martin Schels, Markus Kächele, David Hrabal, Steffen Walter, Harald C. Traue, Friedhelm Schwenker: Classification of Emotional States in a Woz Scenario Exploiting Labeled and Unlabeled Bio-physiological Data. PSL 2011: 138-147

Mohamed Farouk Abdel Hady, Friedhelm Schwenker: Combining Committee-Based Semi-Supervised Learning and Active Learning. J. Comput. Sci. Technol. 25(4): 681-698 (2010)

Mohamed Farouk Abdel Hady, Friedhelm Schwenker, Günther Palm: Semi-supervised learning for tree-structured ensembles of RBF networks with Co-Training. Neural Networks 23(4): 497-509 (2010)

Edmondo Trentin, Stefan Scherer, Friedhelm Schwenker: Maximum Echo-State-Likelihood Networks for Emotion Recognition. ANNPR 2010: 60-71

Stefan Faußer, Friedhelm Schwenker: Parallelized Kernel Patch Clustering. ANNPR 2010: 131-140

Miriam Schmidt, Martin Schels, Friedhelm Schwenker: A Hidden Markov Model Based Approach for Facial Expression Recognition in Image Sequences. ANNPR 2010: 149-160

Mathias Bank, Friedhelm Schwenker: Fuzzification of Agglomerative Hierarchical Crisp Clustering Algorithms. GfKl 2010: 3-11

Mohamed Farouk Abdel Hady, Martin Schels, Friedhelm Schwenker, Günther Palm: Semi-supervised Facial Expressions Annotation Using Co-Training with Fast Probabilistic Tri-Class SVMs. ICANN (2) 2010: 70-75

Stefan Faußer, Friedhelm Schwenker: Learning a Strategy with Neural Approximated Temporal-Difference Methods in English Draughts. ICPR 2010: 2925-2928

Martin Schels, Friedhelm Schwenker: A Multiple Classifier System Approach for Facial Expressions in Image Sequences Utilizing GMM Supervectors. ICPR 2010: 4251-4254

Volker Fritzsch, Stefan Scherer, Friedhelm Schwenker: An Open Source Process Engine Framework for Realtime Pattern Recognition and Information Fusion Tasks. LREC 2010

Mohamed Farouk Abdel Hady, Friedhelm Schwenker: Combining Committee-Based Semi-supervised and Active Learning and Its Application to Handwritten Digits Recognition. MCS 2010: 225-234

Friedhelm Schwenker, Stefan Scherer, Miriam Schmidt, Martin Schels, Michael Glodek: Multiple Classifier Systems for the Recogonition of Human Emotions. MCS 2010: 315-324

Mohamed Farouk Abdel Hady, Friedhelm Schwenker, Günther Palm: When classifier selection meets information theory: A unifying view. SoCPaR 2010: 314-319

Friedhelm Schwenker, Neamat El Gayar (Eds.): Artificial Neural Networks in Pattern Recognition, 4th IAPR TC3 Workshop, ANNPR 2010, Cairo, Egypt, April 11-13, 2010. Proceedings. Lecture Notes in Computer Science 5998, Springer 2010, isbn 978-3-642-12158-6

Friedhelm Schwenker, Amr Labib: Echo State networks and Neural network Ensembles to predict Sunspots activity. ESANN 2009

Mohamed Farouk Abdel Hady, Friedhelm Schwenker, Günther Palm: Semi-supervised Learning for Regression with Co-training by Committee. ICANN (1) 2009: 121-130

Friedhelm Schwenker, Stefan Scherer, Yasmine M. Magdi, Günther Palm: The GMM-SVM Supervector Approach for the Recognition of the Emotional Status from Speech. ICANN (1) 2009: 894-903

Mohamed Farouk Abdel Hady, Friedhelm Schwenker: Decision Templates Based RBF Network for Tree-Structured Multiple Classifier Fusion. MCS 2009: 92-101

Mohamed Farouk Abdel Hady, Friedhelm Schwenker: Co-Training by Committee: A Generalized Framework for Semi-Supervised Learning with Committees. Int. J. Software and Informatics 2(2): 95-124 (2008)

Stefan Faußer, Friedhelm Schwenker: Neural Approximation of Monte Carlo Policy Evaluation Deployed in Connect Four. ANNPR 2008: 90-100

Christian Thiel, Britta Sonntag, Friedhelm Schwenker: Experiments with Supervised Fuzzy LVQ. ANNPR 2008: 125-132

Stefan Scherer, Mohamed Oubbati, Friedhelm Schwenker, Günther Palm: Real-Time Emotion Recognition from Speech Using Echo State Networks. ANNPR 2008: 205-216

Alexander Groß, Jan Friedland, Friedhelm Schwenker: Learning to play Tetris applying reinforcement learning methods. ESANN 2008: 131-136

Mohamed Farouk Abdel Hady, Günther Palm, Friedhelm Schwenker: Multi-View Forests of Tree-Structured Radial Basis Function Networks Based on Dempster-Shafer Evidence Theory. ESANN 2008: 307-312

Ludwig Lausser, Friedhelm Schwenker, Günther Palm: Detecting zebra crossings utilizing AdaBoost. ESANN 2008: 535-540

Mohamed Farouk Abdel Hady, Friedhelm Schwenker, Günther Palm: Semi-supervised Learning of Tree-Structured RBF Networks Using Co-training. ICANN (1) 2008: 79-88

Mohamed Farouk Abdel Hady, Friedhelm Schwenker: Co-training by Committee: A New Semi-supervised Learning Framework. ICDM Workshops 2008: 563-572

Stefan Scherer, Hansjörg Hofmann, Malte Lampmann, Martin Pfeil, Steffen Rhinow, Friedhelm Schwenker, Günther Palm: Emotion Recognition from Speech: Stress Experiment. LREC 2008

Stefan Scherer, Mohamed Oubbati, Friedhelm Schwenker, Günther Palm: Real-Time Emotion Recognition Using Echo State Networks. PIT 2008: 200-204

Christian Thiel, Ferdinando Giacco, Friedhelm Schwenker, Günther Palm: Comparison of Neural Classification Algorithms Applied to Land Cover Mapping. WIRN 2008: 254-263

Stefan Scherer, Friedhelm Schwenker, Günther Palm: Emotion Recognition from Speech Using Multi-Classifier Systems and RBF-Ensembles. Speech, Audio, Image and Biomedical Signal Processing using Neural Networks 2008: 49-70

Lionel Prevost, Simone Marinai, Friedhelm Schwenker (Eds.): Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop, ANNPR 2008, Paris, France, July 2-4, 2008, Proceedings. Lecture Notes in Computer Science 5064, Springer 2008, isbn 978-3-540-69938-5

Christian Thiel, Stefan Scherer, Friedhelm Schwenker: Fuzzy-Input Fuzzy-Output One-Against-All Support Vector Machines. KES (3) 2007: 156-165

Hans A. Kestler, Johann M. Kraus, Günther Palm, Friedhelm Schwenker: On the Effects of Constraints in Semi-supervised Hierarchical Clustering. ANNPR 2006: 57-66

Neamat El Gayar, Friedhelm Schwenker, Günther Palm: A Study of the Robustness of KNN Classifiers Trained Using Soft Labels. ANNPR 2006: 67-80

Rebecca Fay, Friedhelm Schwenker, Christian Thiel, Günther Palm: Hierarchical Neural Networks Utilising Dempster-Shafer Evidence Theory. ANNPR 2006: 198-209

Friedhelm Schwenker, Andreas Sachs, Günther Palm, Hans A. Kestler: Orientation Histograms for Face Recognition. ANNPR 2006: 253-259

Friedhelm Schwenker, Simone Marinai (Eds.): Artificial Neural Networks in Pattern Recognition, Second IAPR Workshop, ANNPR 2006, Ulm, Germany, August 31-September 2, 2006, Proceedings. Lecture Notes in Computer Science 4087, Springer 2006, isbn 3-540-37951-7

Laine Kahsay, Friedhelm Schwenker, Günther Palm: Comparison of Multiclass SVM Decomposition Schemes for Visual Object Recognition. DAGM-Symposium 2005: 334-341

Rebecca Fay, Friedhelm Schwenker, Günther Palm: Incremental learning in hierarchical neural networks for object recognition. ICINCO 2005: 298-303

Christian Thiel, Friedhelm Schwenker, Günther Palm: Using Dempster-Shafer Theory in MCF Systems to Reject Samples. Multiple Classifier Systems 2005: 118-127

Christian Dietrich, Günther Palm, Klaus Riede, Friedhelm Schwenker: Classification of bioacoustic time series based on the combination of global and local decisions. Pattern Recognition 37(12): 2293-2305 (2004)

Friedhelm Schwenker: Classification of Bioacoustic Time Series by Training a Decision Fusion mapping. ESANN 2004: 555-560

Friedhelm Schwenker, Christian Dietrich, Hans A. Kestler, Helge Klaus Rieder, Günther Palm: Radial basis function neural networks and temporal fusion for the classification of bioacoustic time series. Neurocomputing 51: 265-275 (2003)

Christian Dietrich, Günther Palm, Friedhelm Schwenker: Decision templates for the classification of bioacoustic time series. Information Fusion 4(2): 101-109 (2003)

Christian Dietrich, Friedhelm Schwenker, Günther Palm: Multiple Classifier Systems for the Recognition of Orthoptera Songs. DAGM-Symposium 2003: 474-481

Steffen Simon, Friedhelm Schwenker, Hans A. Kestler, Gerhard K. Kraetzschmar, Günther Palm: Hierarchical Object Classification for Autonomous Mobile Robots. ICANN 2002: 831-836

Friedhelm Schwenker, Hans A. Kestler, Günther Palm: Three learning phases for radial-basis-function networks. Neural Networks 14(4-5): 439-458 (2001)

Friedhelm Schwenker: Solving Multi-class Pattern Recognition Problems with Tree-Structured Support Vector Machines. DAGM-Symposium 2001: 283-290

Christian Dietrich, Friedhelm Schwenker, Günther Palm: Fusion Architectures for the Classification of Time Series. ICANN 2001: 749-758

Christian Dietrich, Friedhelm Schwenker, Günther Palm: Classification of Time Series Utilizing Temporal and Decision Fusion. Multiple Classifier Systems 2001: 378-387

Friedhelm Schwenker, Günther Palm: Tree-Structured Support Vector Machines for Multi-class Pattern Recognition. Multiple Classifier Systems 2001: 409-417

Hans A. Kestler, Stefan Sablatnög, Steffen Simon, Stefan Enderle, Axel Baune, Gerhard K. Kraetzschmar, Friedhelm Schwenker, Günther Palm: Concurrent Object Identification and Localization for a Mobile Robot. KI 14(4): 23-29 (2000)

Friedhelm Schwenker, Hans A. Kestler, Günther Palm: Radial-basis-function networks: learning and applications. KES 2000: 33-43

Friedhelm Schwenker: Hierarchical support vector machines for multi-class pattern recognition. KES 2000: 561-565

Axel Baune, Steffen Simon, Hans A. Kestler, Friedhelm Schwenker, Günther Palm: Schritthaltende Objektklassifikation für einen autonomen mobilen Roboter. AMS 1999: 254-261

Hans A. Kestler, Steffen Simon, Axel Baune, Markus Hagenbuchner, Friedhelm Schwenker, Günther Palm: A Hierarchical Neural Object Classifier for Subsymbolic-Symbolic Coupling. DAGM-Symposium 1999: 27-35

Hans A. Kestler, Steffen Simon, Axel Baune, Friedhelm Schwenker, Günther Palm: Object Classification Using Simple, Colour Based Visual Attention and a Hierarchical Neural Network for Neuro-symbolic Integration. KI 1999: 267-279

Friedhelm Schwenker, Steffen Simon, Günther Palm: Ein hierarchischer neuronaler Klassifikator für die Erkennung von Einzelzeichen in mathematischen Formeltexten. DAGM-Symposium 1998: 410-417

Friedhelm Schwenker, Friedrich T. Sommer, Günther Palm: Iterative retrieval of sparsely coded associative memory patterns. Neural Networks 9(3): 445-455 (1996)

Friedhelm Schwenker, Hans A. Kestler, M. Höher, Günther Palm: Klassifikation hochverstärkter EKG Signale durch RBF-Netzwerke. DAGM-Symposium 1995: 387-394

Friedhelm Schwenker, Günther Palm: Methoden zur Clusteranalyse und Visualisierung hochdimensionaler Datenmengen. DAGM-Symposium 1995: 546-553